Hello World! My name is Swapnil Sagar Soren. I have created this personal site for my MBA lectures. It will keep on getting updated from April 2026 to April ...
Chapter 6 — Segmentation & Targeting This chapter covers the STP (Segmentation, Targeting, Positioning) framework, focusing on how firms identify attractive customer groups and prioritize which customers to serve. It explains strategic vs tactical targeting, MADAP criteria, segmentation variables, TAM/SAM/SOM, benefit-sought segmentation, and strategic customer value. The chapter also includes…
Microeconomics: A Working Knowledge System (Sessions 11–15) This is a living reference built from lecture slides, Pindyck & Rubinfeld (2017), and solved problems across Sessions 11–15 of an MBA Managerial Economics course. Each section below links to a dedicated post. Start here, navigate from here, return here. What This Covers Five sessions. Four market structures. One underlying question: How…
A running index of structured session notes for Management Accounting (MANAC). Each post covers key concepts, worked examples, frameworks, exam questions, and revision sheets. Cost Accounting Foundations Sessions Session 9 — Cost Management: Overhead Cost Allocation Methods How firms convert shared/indirect costs into product costs — and why the allocation logic matters as much as the amount.…
What this session covered This lecture extended the forecasting unit with a hands-on walk-through of two baseline time-series forecasting models — Naïve forecast and Moving Average —and (more importantly) how to evaluate them using forecast errors (absolute deviation, Mean Absolute Deviation, Co-efficient of Variation, period-wise error distribution). It also connected forecasting accuracy to…
Exam Study Guide: Probability & Distributions Course: IIM Lucknow — IPMX Batch 2026-27 — QAB-I Topics covered: Probability, Random Variables, Binomial, Poisson, Uniform, Exponential, Normal Also see the solved questions from the lectures here BLOCK 1: Probability Foundations Core Ideas in 5 Bullets Sample space (S) = list of all possible outcomes. Event (A) = a subset of S. P(A) = favorable…